Datasets for Stata Structural Equation Modeling Reference Manual, Release 13
Datasets used in the Stata documentation were selected to demonstrate how to use Stata. Some datasets have been altered to explain a particular feature.
Do not use these datasets for analysis.
To download a dataset:
- Click on a filename to download it to a local folder on your machine.
- Alternatively, you can first establish an Internet connection, and then, in Stata's Command window, type
to use the file. You could then save the file with Stata's save command.
Example 1 - Single-factor measurement model
Example 3 - Two-factor measurement model
Example 4 - Goodness-of-fit statistics
Example 5 - Modification indices
Example 7 - Nonrecursive structural model
Example 8 - Testing that coefficients are equal, and constraining them
Example 9 - Structural model with measurement component
Example 10 - MIMIC model
Example 11 - estat framework
Example 13 - Equation-level Wald test
Example 14 - Predicted values
Example 15 - Higher-order CFA
Example 16 - Correlation
Example 17 - Correlated uniqueness model
Example 18 - Latent growth model
Example 20 - Two-factor measurement model by group
Example 21 - Group-level goodness of fit
Example 22 - Testing parameter equality across groups
Example 23 - Specifying parameter constraints across groups
Example 24 - Reliability
Example 25 - Creating summary statistics data from raw data
Example 26 - Fitting a model using data missing at random
Example 27g - Single-factor measurement model (generalized response)
Example 28g - One-parameter logistic IRT (Rasch) model
Example 29g - Two-parameter logistic IRT model
Example 30g - Two-level measurement model (multilevel, generalized response)
Example 31g - Two-factor measurement model (generalized response)
Example 32g - Full structural equation model (generalized response)
Example 33g - Logistic regression
Example 34g - Combined models (generalized responses)
Example 35g - Ordered probit and ordered logit
Example 36g - MIMIC model (generalized response)
Example 37g - Multinomial logistic regression
Example 38g - Random-intercept and random-slope models (multilevel)
Example 39g - Three-level model (multilevel, generalized response)
Example 40g - Crossed models (multilevel)
Example 41g - Two-level multinomial logistic regression (multilevel)
Example 42g - One- and two-level mediation models (multilevel)
Example 43g - Heckman selection model
Example 44g - Endogenous treatment-effects model
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some proprietary datasets in the reference manuals have been used in our printed
documentation with the express permission of the
copyright holders. If any copyright holder
believes that by making these datasets
available to the public, StataCorp is
in violation of the letter or spirit of any
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